Risk management for companies focused on innovation processes

Detalhes bibliográficos
Autor(a) principal: Etges,Ana Paula Beck da Silva
Data de Publicação: 2017
Outros Autores: Souza,Joana Siqueira de, Kliemann Neto,Francisco José
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Production
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132017000100314
Resumo: Abstract Risk is inherent to the activities of technology and innovation companies and to manage them represent an opportunity to improve the company capability to achieve its goals. The use of ERM models has been studied since the Committee of Sponsoring Organizations of the Treadway Commission guides. This article adapted the MIGGRI model for the context of an innovation company from a TSP in Brazil. Using a case study and a review from previous ERM literature, the article show that is possible to measure the risks that an innovation company faces, and that they may be managed with a view to supporting a company’s strategy. Were applied an economic analysis based on a MCS and an indicator of CFaR were applied to measure innovation risks. A strategic performance model for innovation companies are proposed and the benefit to implement Risk Management practices in innovation organizations was validated.
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spelling Risk management for companies focused on innovation processesEnterprise Risk ManagementMonte Carlo SimulationEconomic risk analysisInnovation managementStrategic performanceAbstract Risk is inherent to the activities of technology and innovation companies and to manage them represent an opportunity to improve the company capability to achieve its goals. The use of ERM models has been studied since the Committee of Sponsoring Organizations of the Treadway Commission guides. This article adapted the MIGGRI model for the context of an innovation company from a TSP in Brazil. Using a case study and a review from previous ERM literature, the article show that is possible to measure the risks that an innovation company faces, and that they may be managed with a view to supporting a company’s strategy. Were applied an economic analysis based on a MCS and an indicator of CFaR were applied to measure innovation risks. A strategic performance model for innovation companies are proposed and the benefit to implement Risk Management practices in innovation organizations was validated.Associação Brasileira de Engenharia de Produção2017-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132017000100314Production v.27 2017reponame:Productioninstname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPRO10.1590/0103-6513.220916info:eu-repo/semantics/openAccessEtges,Ana Paula Beck da SilvaSouza,Joana Siqueira deKliemann Neto,Francisco Joséeng2017-07-18T00:00:00Zoai:scielo:S0103-65132017000100314Revistahttps://www.scielo.br/j/prod/https://old.scielo.br/oai/scielo-oai.php||production@editoracubo.com.br1980-54110103-6513opendoar:2017-07-18T00:00Production - Associação Brasileira de Engenharia de Produção (ABEPRO)false
dc.title.none.fl_str_mv Risk management for companies focused on innovation processes
title Risk management for companies focused on innovation processes
spellingShingle Risk management for companies focused on innovation processes
Etges,Ana Paula Beck da Silva
Enterprise Risk Management
Monte Carlo Simulation
Economic risk analysis
Innovation management
Strategic performance
title_short Risk management for companies focused on innovation processes
title_full Risk management for companies focused on innovation processes
title_fullStr Risk management for companies focused on innovation processes
title_full_unstemmed Risk management for companies focused on innovation processes
title_sort Risk management for companies focused on innovation processes
author Etges,Ana Paula Beck da Silva
author_facet Etges,Ana Paula Beck da Silva
Souza,Joana Siqueira de
Kliemann Neto,Francisco José
author_role author
author2 Souza,Joana Siqueira de
Kliemann Neto,Francisco José
author2_role author
author
dc.contributor.author.fl_str_mv Etges,Ana Paula Beck da Silva
Souza,Joana Siqueira de
Kliemann Neto,Francisco José
dc.subject.por.fl_str_mv Enterprise Risk Management
Monte Carlo Simulation
Economic risk analysis
Innovation management
Strategic performance
topic Enterprise Risk Management
Monte Carlo Simulation
Economic risk analysis
Innovation management
Strategic performance
description Abstract Risk is inherent to the activities of technology and innovation companies and to manage them represent an opportunity to improve the company capability to achieve its goals. The use of ERM models has been studied since the Committee of Sponsoring Organizations of the Treadway Commission guides. This article adapted the MIGGRI model for the context of an innovation company from a TSP in Brazil. Using a case study and a review from previous ERM literature, the article show that is possible to measure the risks that an innovation company faces, and that they may be managed with a view to supporting a company’s strategy. Were applied an economic analysis based on a MCS and an indicator of CFaR were applied to measure innovation risks. A strategic performance model for innovation companies are proposed and the benefit to implement Risk Management practices in innovation organizations was validated.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132017000100314
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-6513.220916
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
dc.source.none.fl_str_mv Production v.27 2017
reponame:Production
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reponame_str Production
collection Production
repository.name.fl_str_mv Production - Associação Brasileira de Engenharia de Produção (ABEPRO)
repository.mail.fl_str_mv ||production@editoracubo.com.br
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